Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems
Само за регистроване кориснике
2018
Чланак у часопису (Објављена верзија)
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Different methods have been developed in the past to formulate and solve steady-state hydraulics of a water distribution system (WDS). The most widely used method nowadays is probably the global gradient algorithm (GGA). The loop-flow method (also known as the Q method) represents a viable alternative to GGA, especially when combined with suitably preprocessed network data. The main advantage of the Q method over the GGA is in the smaller number of unknowns to solve for, which is coming from the fact that real WDSs typically have far less loops than nodes. A new loop-flow-type method, relying on the novel triangulation based loops identification algorithm (TRIBAL) that was implemented in the corresponding new hydraulic solver (Q), is presented in this paper (TRIBAL-Q). The new method aims to exploit this advantage, while overcoming key drawbacks of existing Q methods. The performance of the TRIBAL-Q-based solver is compared with the GGA-based solver on four large real networks of diffe...rent complexity and topology. The results obtained demonstrate that, despite requiring an increased number of iterations to converge, the TRIBAL-Q method-based solver is substantially computationally faster, has slightly better numerical stability, and is equally accurate in making predictions when compared with the GGA-based hydraulic solver.
Кључне речи:
Q method / Loop flow / WDS analysis / Minimal loops / Global gradient algorithm (GGA)Извор:
Journal of Water Resources Planning and Management, 2018, 144, 4Издавач:
- American Society of Civil Engineers (ASCE)
DOI: 10.1061/(ASCE)WR.1943-5452.0000922
ISSN: 0733-9496
WoS: 000425621200018
Scopus: 2-s2.0-85042070938
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Институција/група
GraFarTY - JOUR AU - Vasilić, Željko AU - Stanić, Miloš AU - Kapelan, Zoran AU - Ivetić, Damjan AU - Prodanović, Dušan PY - 2018 UR - https://grafar.grf.bg.ac.rs/handle/123456789/953 AB - Different methods have been developed in the past to formulate and solve steady-state hydraulics of a water distribution system (WDS). The most widely used method nowadays is probably the global gradient algorithm (GGA). The loop-flow method (also known as the Q method) represents a viable alternative to GGA, especially when combined with suitably preprocessed network data. The main advantage of the Q method over the GGA is in the smaller number of unknowns to solve for, which is coming from the fact that real WDSs typically have far less loops than nodes. A new loop-flow-type method, relying on the novel triangulation based loops identification algorithm (TRIBAL) that was implemented in the corresponding new hydraulic solver (Q), is presented in this paper (TRIBAL-Q). The new method aims to exploit this advantage, while overcoming key drawbacks of existing Q methods. The performance of the TRIBAL-Q-based solver is compared with the GGA-based solver on four large real networks of different complexity and topology. The results obtained demonstrate that, despite requiring an increased number of iterations to converge, the TRIBAL-Q method-based solver is substantially computationally faster, has slightly better numerical stability, and is equally accurate in making predictions when compared with the GGA-based hydraulic solver. PB - American Society of Civil Engineers (ASCE) T2 - Journal of Water Resources Planning and Management T1 - Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems IS - 4 VL - 144 DO - 10.1061/(ASCE)WR.1943-5452.0000922 ER -
@article{ author = "Vasilić, Željko and Stanić, Miloš and Kapelan, Zoran and Ivetić, Damjan and Prodanović, Dušan", year = "2018", abstract = "Different methods have been developed in the past to formulate and solve steady-state hydraulics of a water distribution system (WDS). The most widely used method nowadays is probably the global gradient algorithm (GGA). The loop-flow method (also known as the Q method) represents a viable alternative to GGA, especially when combined with suitably preprocessed network data. The main advantage of the Q method over the GGA is in the smaller number of unknowns to solve for, which is coming from the fact that real WDSs typically have far less loops than nodes. A new loop-flow-type method, relying on the novel triangulation based loops identification algorithm (TRIBAL) that was implemented in the corresponding new hydraulic solver (Q), is presented in this paper (TRIBAL-Q). The new method aims to exploit this advantage, while overcoming key drawbacks of existing Q methods. The performance of the TRIBAL-Q-based solver is compared with the GGA-based solver on four large real networks of different complexity and topology. The results obtained demonstrate that, despite requiring an increased number of iterations to converge, the TRIBAL-Q method-based solver is substantially computationally faster, has slightly better numerical stability, and is equally accurate in making predictions when compared with the GGA-based hydraulic solver.", publisher = "American Society of Civil Engineers (ASCE)", journal = "Journal of Water Resources Planning and Management", title = "Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems", number = "4", volume = "144", doi = "10.1061/(ASCE)WR.1943-5452.0000922" }
Vasilić, Ž., Stanić, M., Kapelan, Z., Ivetić, D.,& Prodanović, D.. (2018). Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems. in Journal of Water Resources Planning and Management American Society of Civil Engineers (ASCE)., 144(4). https://doi.org/10.1061/(ASCE)WR.1943-5452.0000922
Vasilić Ž, Stanić M, Kapelan Z, Ivetić D, Prodanović D. Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems. in Journal of Water Resources Planning and Management. 2018;144(4). doi:10.1061/(ASCE)WR.1943-5452.0000922 .
Vasilić, Željko, Stanić, Miloš, Kapelan, Zoran, Ivetić, Damjan, Prodanović, Dušan, "Improved Loop-Flow Method for Hydraulic Analysis of Water Distribution Systems" in Journal of Water Resources Planning and Management, 144, no. 4 (2018), https://doi.org/10.1061/(ASCE)WR.1943-5452.0000922 . .